SageMaker

Fine-Tuning vs Prompt Engineering on AWS: What’s the Right Approach?

Introduction So you’ve chosen your model, maybe Claude via Bedrock or Falcon on SageMaker.Now the next question hits:Should we fine-tune this model? Or can we just prompt it better?Choosing between fine-tuning and prompt engineering isn’t just technical, it’s strategic.Let’s explore when each approach makes sense in the AWS ecosystem, how they differ, and how to […]

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GenAI on a Budget: Cost-Optimization Strategies Using AWS Tools

Introduction Building GenAI apps sounds expensive.And sometimes, it is, especially if you jump straight into fine-tuning LLMs or spinning up GPU clusters without a plan.But here’s the good news: AWS offers several ways to run GenAI workloads cost-effectively if you know where to look.In this post, we’ll share practical strategies to build, test, and deploy

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Multi-Modal Models on AWS: What’s Possible Today?

Introduction In 2025, GenAI is no longer limited to just words on a screen.From images to text, audio to documents, multi-modal models are now shaping how we interact with AI-powered applications.So, where does AWS stand in this multi-modal future?Let’s explore what’s possible right now on AWS when it comes to multi-modal GenAI and how to

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Getting Started with AWS GenAI Stack: What You Need to Know in 2025

Introduction Generative AI isn’t hype anymore; it’s a practical, transformative layer across industries. AWS has rapidly evolved to offer a full-stack suite for teams looking to build, deploy, and scale GenAI applications.If you’re exploring AWS for GenAI in 2025, this guide is your starting point. What is the AWS GenAI Stack? The AWS GenAI Stack

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